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Christopher Kymn
Christopher Kymn
Helen Wills Neuroscience Institute, UC Berkeley
在 berkeley.edu 的电子邮件经过验证
标题
引用次数
引用次数
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Computing on functions using randomized vector representations (in brief)
EP Frady, D Kleyko, CJ Kymn, BA Olshausen, FT Sommer
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
632022
Computing on Functions Using Randomized Vector Representations
EP Frady, D Kleyko, CJ Kymn, BA Olshausen, FT Sommer
arXiv preprint arXiv:2109.03429, 2021
63*2021
Efficient decoding of compositional structure in holistic representations
D Kleyko, C Bybee, PC Huang, CJ Kymn, BA Olshausen, EP Frady, ...
Neural Computation 35 (7), 1159-1186, 2023
102023
Integer factorization with compositional distributed representations
D Kleyko, C Bybee, CJ Kymn, BA Olshausen, A Khosrowshahi, ...
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
92022
Computing with Residue Numbers in High-Dimensional Representation
CJ Kymn, D Kleyko, EP Frady, C Bybee, P Kanerva, FT Sommer, ...
ArXiv, 2023
32023
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
CJ Kymn*, S Mazelet*, A Ng, D Kleyko, BA Olshausen
2024 Neuro Inspired Computational Elements Conference (NICE), 1-9, 2024
12024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
CJ Kymn, S Mazelet, A Thomas, D Kleyko, EP Frady, FT Sommer, ...
arXiv preprint arXiv:2406.18808, 2024
2024
COGGRAPH: Building bridges between cognitive science and computer graphics
K Chandra, AHK Harrington, KM Collins, C Kymn, K Mukherjee, ...
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
2024
A residue-number attractor neural network model of error-correcting updates among grid cell modules
CJ Kymn, S Mazelet, D Kleyko, BA Olshausen
Cosyne abstracts, 2024
2024
Elemental Cognitive Acts, and Their Architecture
R Granger, E Bowen, A Rodriguez, L Ray, C Kymn, K Jarrett
2017 AAAI Fall Symposium Series, 2017
2017
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